The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-27"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "43951086 (up from 43483973 yesterday: 1.07 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1166748 (up from 1159397 yesterday: 0.63 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 8144114

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.65



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 8777432 74682 0.86 1278091 226691 985 0.44 2.58
India 7990322 43893 0.55 1233191 120010 508 0.43 1.50
Brazil 5439641 29787 0.55 470500 157946 549 0.35 2.90
Russia 1537142 16342 1.07 305865 26409 317 1.21 1.72
France 1244242 34591 2.86 568506 35582 530 1.51 2.86
Spain 1116738 18418 1.68 291328 35298 267 0.76 3.16
Argentina 1116609 14308 1.30 292141 29730 429 1.46 2.66
Colombia 1033218 8166 0.80 163410 30565 217 0.72 2.96
United Kingdom 920664 22924 2.55 387885 45455 367 0.81 4.94
Mexico 901268 5942 0.66 106660 89814 643 0.72 9.97
Peru 890574 1859 0.21 60575 34197 48 0.14 3.84
South Africa 717851 1092 0.15 34609 19053 45 0.24 2.65
Iran 581824 6968 1.21 101999 33299 346 1.05 5.72
Italy 564778 21989 4.05 234515 37700 221 0.59 6.68
Chile 504525 927 0.18 31219 14026 23 0.16 2.78
Germany 463419 13161 2.92 156292 10121 30 0.30 2.18
Iraq 459908 4510 0.99 72787 10724 53 0.50 2.33
Bangladesh 401586 1335 0.33 29955 5838 20 0.34 1.45
Indonesia 396454 3520 0.90 85278 13512 101 0.75 3.41
Philippines 373144 1514 0.41 46311 7053 14 0.20 1.89
Ukraine 366233 6885 1.92 125422 6770 129 1.94 1.85
Turkey 366208 2209 0.61 38651 9950 76 0.77 2.72
Saudi Arabia 345631 399 0.12 8388 5329 16 0.30 1.54
Belgium 333718 12687 3.95 199427 10899 89 0.82 3.27
Pakistan 330200 825 0.25 13849 6759 14 0.21 2.05
Netherlands 318152 10321 3.35 167739 7204 70 0.98 2.26
Israel 311724 873 0.28 34698 2483 30 1.22 0.80
Czechia 284033 15663 5.84 194011 2547 182 7.70 0.90
Poland 280229 16300 6.18 175913 4615 132 2.94 1.65
Canada 225703 2730 1.22 51947 10052 26 0.26 4.45
Romania 217216 4724 2.22 77604 6574 104 1.61 3.03
Morocco 203733 3988 2.00 66485 3445 72 2.13 1.69
Ecuador 163192 1014 0.63 21136 12588 15 0.12 7.71
Nepal 160400 570 0.36 69586 876 14 1.62 0.55
Bolivia 141124 172 0.12 3656 8672 14 0.16 6.14
Qatar 131689 257 0.20 4746 230 0 0.00 0.17
Panama 130422 671 0.52 13820 2650 12 0.45 2.03
United Arab Emirates 127624 1390 1.10 26830 482 2 0.42 0.38
Switzerland 127042 5949 4.91 70410 2147 36 1.71 1.69
Dominican Republic 125008 165 0.13 9637 2226 1 0.04 1.78
Portugal 124432 3299 2.72 44120 2371 28 1.20 1.91
Kuwait 123092 775 0.63 14824 756 7 0.93 0.61
Sweden 115785 5191 4.69 19640 5918 -15 -0.25 5.11
Oman 113820 466 0.41 11172 1203 13 1.09 1.06
Kazakhstan 110832 148 0.13 2470 1825 29 1.61 1.65
Egypt 106877 170 0.16 2975 6222 11 0.18 5.82
Guatemala 105571 677 0.65 10701 3665 14 0.38 3.47
Costa Rica 105322 862 0.83 23180 1329 17 1.30 1.26
Japan 98146 643 0.66 11606 1726 5 0.29 1.76
Honduras 94623 657 0.70 13961 2639 6 0.23 2.79
Belarus 94609 902 0.96 13519 965 4 0.42 1.02
Ethiopia 94218 511 0.55 14215 1445 8 0.56 1.53
China 91222 47 0.05 555 4739 0 0.00 5.20
Venezuela 90400 353 0.39 10604 780 3 0.39 0.86
Austria 86102 2835 3.40 36283 1005 13 1.31 1.17
Bahrain 80765 232 0.29 7289 316 0 0.00 0.39
Armenia 80410 1600 2.03 27327 1222 26 2.17 1.52
Lebanon 73995 1809 2.51 27077 590 11 1.90 0.80
Moldova 72460 649 0.90 14728 1710 10 0.59 2.36
Uzbekistan 65881 214 0.33 6538 556 4 0.72 0.84
Hungary 63642 2079 3.38 31344 1535 63 4.28 2.41
Nigeria 62224 113 0.18 2641 1135 3 0.27 1.82
Paraguay 60557 448 0.75 14910 1347 14 1.05 2.22
Jordan 58855 3800 6.90 39854 668 44 7.05 1.13
Ireland 58767 700 1.21 19794 1890 5 0.27 3.22
Singapore 57980 7 0.01 150 28 0 0.00 0.05
Libya 57975 752 1.31 19507 812 11 1.37 1.40
Kyrgyzstan 56738 568 1.01 8939 1136 2 0.18 2.00
Algeria 56706 287 0.51 4307 1931 9 0.47 3.41
Tunisia 52399 0 0.00 30169 983 0 0.00 1.88
West Bank and Gaza 51528 576 1.13 9096 458 4 0.88 0.89
Azerbaijan 51149 663 1.31 10218 688 9 1.33 1.35
Kenya 50833 836 1.67 11247 934 14 1.52 1.84
Ghana 47775 0 0.00 946 316 0 0.00 0.66
Burma 47666 1466 3.17 27633 1147 25 2.23 2.41
Slovakia 46056 901 2.00 32244 176 11 6.67 0.38
Bosnia and Herzegovina 43151 1555 3.74 14441 1125 21 1.90 2.61
Bulgaria 42701 2569 6.40 20395 1161 25 2.20 2.72
Denmark 42668 749 1.79 11800 709 1 0.14 1.66
Afghanistan 41032 95 0.23 1546 1523 5 0.33 3.71
Serbia 40880 1053 2.64 6808 798 5 0.63 1.95
Croatia 38621 1413 3.80 20537 470 18 3.98 1.22
El Salvador 32925 0 0.00 3291 957 4 0.42 2.91
Greece 32752 1256 3.99 12211 593 12 2.07 1.81
Georgia 32127 1824 6.02 22882 238 23 10.70 0.74
Malaysia 28640 835 3.00 15136 238 2 0.85 0.83
North Macedonia 27827 628 2.31 8731 949 15 1.61 3.41
Australia 27553 14 0.05 372 907 2 0.22 3.29
Korea, South 26146 103 0.40 1793 461 1 0.22 1.76
Slovenia 25603 1523 6.32 18839 264 13 5.18 1.03
Cameroon 21793 0 0.00 869 426 0 0.00 1.95
Cote d’Ivoire 20488 2 0.01 585 122 0 0.00 0.60
Albania 19729 284 1.46 5161 487 7 1.46 2.47
Norway 18666 324 1.77 3882 280 1 0.36 1.50
Kosovo 17943 0 0.00 2054 663 0 0.00 3.70
Montenegro 17091 182 1.08 4507 275 5 1.85 1.61
Madagascar 16968 0 0.00 368 244 0 0.00 1.44
Zambia 16243 43 0.27 1073 348 0 0.00 2.14
Senegal 15571 6 0.04 430 322 0 0.00 2.07
Finland 15163 193 1.29 4234 354 0 0.00 2.33
Luxembourg 14884 485 3.37 5905 147 0 0.00 0.99
Sudan 13747 0 0.00 94 837 0 0.00 6.09
Namibia 12729 54 0.43 1056 133 0 0.00 1.04
Mozambique 12273 112 0.92 2875 89 1 1.14 0.73
Guinea 11819 184 1.58 956 71 0 0.00 0.60
Uganda 11621 64 0.55 2539 103 2 1.98 0.89
Maldives 11567 35 0.30 946 37 0 0.00 0.32
Lithuania 11362 413 3.77 5996 141 5 3.68 1.24
Congo (Kinshasa) 11191 17 0.15 402 305 0 0.00 2.73
Tajikistan 10860 41 0.38 846 81 0 0.00 0.75

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 914888 4450 0.49 76686 17460 74 0.43 1.91 23154.56 441.89 1 in 43
Texas 904769 6467 0.72 106200 18061 83 0.46 2.00 31203.36 622.88 1 in 32
Florida 786311 4298 0.55 66186 16505 56 0.34 2.10 36610.51 768.47 1 in 27
New York 498646 1991 0.40 31738 33433 9 0.03 6.70 25632.63 1718.61 1 in 39
Illinois 387687 4000 1.04 79982 9838 46 0.47 2.54 30594.42 776.37 1 in 33
Georgia 353372 1491 0.42 28722 7844 17 0.22 2.22 33282.28 738.79 1 in 30
North Carolina 263883 2141 0.82 42625 4211 41 0.98 1.60 25160.27 401.50 1 in 40
Tennessee 251774 1908 0.76 46399 3207 44 1.39 1.27 36845.83 469.33 1 in 27
Arizona 240122 1158 0.48 18188 5891 16 0.27 2.45 31533.21 773.62 1 in 32
New Jersey 231331 1647 0.72 21989 16306 14 0.09 7.05 26044.37 1835.81 1 in 38
Wisconsin 206311 5262 2.62 69932 1852 64 3.58 0.90 35433.81 318.08 1 in 28
Pennsylvania 203520 2272 1.13 33296 8683 24 0.28 4.27 15897.53 678.25 1 in 63
Ohio 202740 2509 1.25 41441 5239 22 0.42 2.58 17344.36 448.20 1 in 58
Alabama 186437 1115 0.60 25960 2892 26 0.91 1.55 38023.65 589.82 1 in 26
Michigan 182344 2675 1.49 38467 7585 33 0.44 4.16 18258.40 759.50 1 in 55
Louisiana 180991 922 0.51 11947 5872 18 0.31 3.24 38932.89 1263.12 1 in 26
Missouri 175130 1616 0.93 38803 2855 39 1.38 1.63 28534.75 465.18 1 in 35
Virginia 174786 1123 0.65 21841 3595 18 0.50 2.06 20477.49 421.18 1 in 49
South Carolina 172579 1078 0.63 19609 3842 19 0.50 2.23 33518.86 746.21 1 in 30
Indiana 166564 1983 1.20 39618 4194 51 1.23 2.52 24741.32 622.97 1 in 40
Massachusetts 153037 1260 0.83 17080 9888 7 0.07 6.46 22021.29 1422.84 1 in 45
Maryland 141741 897 0.64 13537 4108 9 0.22 2.90 23445.01 679.49 1 in 43
Minnesota 137536 2164 1.60 31796 2421 15 0.62 1.76 24387.41 429.28 1 in 41
Iowa 118563 1365 1.16 24758 1680 23 1.39 1.42 37578.56 532.48 1 in 27
Oklahoma 118409 1010 0.86 25063 1273 22 1.76 1.08 29924.15 321.71 1 in 33
Mississippi 116617 854 0.74 14939 3283 20 0.61 2.82 39183.86 1103.10 1 in 26
Arkansas 107679 952 0.89 19608 1857 24 1.31 1.72 35681.00 615.34 1 in 28
Utah 107228 1145 1.08 27789 578 4 0.70 0.54 33446.48 180.29 1 in 30
Washington 104027 527 0.51 13364 2337 16 0.69 2.25 13660.99 306.90 1 in 73
Kentucky 99637 1771 1.81 25443 1428 18 1.28 1.43 22301.77 319.63 1 in 45
Colorado 98710 1433 1.47 24541 2236 10 0.45 2.27 17140.91 388.28 1 in 58
Nevada 96908 730 0.76 13992 1752 7 0.40 1.81 31462.04 568.80 1 in 32
Kansas 77887 908 1.18 15572 983 14 1.44 1.26 26734.85 337.42 1 in 37
Connecticut 68637 538 0.79 9396 4595 6 0.13 6.69 19251.47 1288.82 1 in 52
Nebraska 65376 877 1.36 16619 620 17 2.82 0.95 33796.39 320.51 1 in 30
Puerto Rico 63497 362 0.57 11760 808 4 0.50 1.27 19881.99 253.00 1 in 50
Idaho 60923 882 1.47 15841 585 5 0.86 0.96 33995.98 326.44 1 in 29
New Mexico 43169 583 1.37 12222 980 4 0.41 2.27 20587.75 467.37 1 in 49
Oregon 42808 372 0.88 7469 664 9 1.37 1.55 10149.52 157.43 1 in 99
South Dakota 40730 989 2.49 15854 375 0 0.00 0.92 46040.34 423.89 1 in 22
North Dakota 39130 889 2.32 14766 476 15 3.25 1.22 51347.53 624.62 1 in 19
Rhode Island 31445 421 1.36 5849 1188 4 0.34 3.78 29682.99 1121.43 1 in 34
Montana 29346 845 2.96 13999 305 2 0.66 1.04 27457.53 285.37 1 in 36
Delaware 24249 81 0.34 2783 686 1 0.15 2.83 24902.34 704.48 1 in 40
West Virginia 22710 486 2.19 5768 434 8 1.88 1.91 12707.40 242.85 1 in 79
District of Columbia 16906 94 0.56 1254 644 2 0.31 3.81 23954.69 912.51 1 in 42
Alaska 14798 1442 10.80 6046 70 2 2.94 0.47 20228.42 95.69 1 in 49
Hawaii 14773 64 0.44 1836 215 3 1.42 1.46 10433.85 151.85 1 in 96
Wyoming 11806 329 2.87 5036 77 0 0.00 0.65 20398.82 133.04 1 in 49
New Hampshire 10530 133 1.28 1799 475 0 0.00 4.51 7744.29 349.34 1 in 129
Maine 6309 58 0.93 744 146 0 0.00 2.31 4693.46 108.61 1 in 213
Vermont 2113 30 1.44 292 58 0 0.00 2.74 3386.28 92.95 1 in 295

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 18127049 914888 5.05 2696628 76686 2.84 458770.7
2 Texas 7883440 904769 11.48 1247192 106200 8.52 271881.4
3 Florida 9703491 786311 8.10 4269913 66186 1.55 451793.0
4 New York 13945858 498646 3.58 2552475 31738 1.24 716879.4
5 Illinois 7393003 387687 5.24 1415795 79982 5.65 583420.7
6 Georgia 3474891 353372 10.17 430099 28722 6.68 327282.0
7 North Carolina 3890764 263883 6.78 674078 42625 6.32 370970.0
8 Tennessee 3586241 251774 7.02 545959 46399 8.50 524828.0
9 Arizona 1724647 240122 13.92 213220 18188 8.53 226483.4
10 New Jersey 4484813 231331 5.16 726126 21989 3.03 504922.0
11 Wisconsin 2006587 206311 10.28 380741 69932 18.37 344630.3
12 Pennsylvania 2452969 203520 8.30 335734 33296 9.92 191608.4
13 Ohio 4282604 202740 4.73 854632 41441 4.85 366375.8
14 Alabama 1312887 186437 14.20 140040 25960 18.54 267762.1
15 Michigan 4693470 182344 3.89 848508 38467 4.53 469964.7
16 Louisiana 2723277 180991 6.65 319497 11947 3.74 585802.9
17 Missouri 2438579 175130 7.18 1071440 38803 3.62 397329.1
18 Virginia 2543515 174786 6.87 389347 21841 5.61 297991.8
19 South Carolina 1745026 172579 9.89 341890 19609 5.74 338924.6
20 Indiana 2754311 166564 6.05 1322092 39618 3.00 409123.8
21 Massachusetts 5781231 153037 2.65 1364803 17080 1.25 831891.3
22 Maryland 3311143 141741 4.28 1635916 13537 0.83 547687.4
23 Minnesota 2698113 137536 5.10 515143 31796 6.17 478420.0
24 Iowa 869020 118563 13.64 78177 24758 31.67 275436.0
25 Oklahoma 1564476 118409 7.57 284415 25063 8.81 395372.1
26 Mississippi 846161 116617 13.78 40803 14939 36.61 284314.1
27 Arkansas 1303236 107679 8.26 215565 19608 9.10 431846.1
28 Utah 1044695 107228 10.26 169094 27789 16.43 325860.5
29 Washington 2372596 104027 4.38 421189 13364 3.17 311573.1
30 Kentucky 1821228 99637 5.47 355318 25443 7.16 407645.8
31 Colorado 1874101 98710 5.27 429839 24541 5.71 325436.2
32 Nevada 794921 96908 12.19 76189 13992 18.36 258078.2
33 Kansas 625931 77887 12.44 84825 15572 18.36 214851.9
34 Connecticut 2221034 68637 3.09 476600 9396 1.97 622960.8
35 Nebraska 572760 65376 11.41 91747 16619 18.11 296090.6
37 Idaho 373337 60923 16.32 53392 15841 29.67 208327.8
38 New Mexico 1124922 43169 3.84 170326 12222 7.18 536487.2
39 Oregon 836995 42808 5.11 123597 7469 6.04 198446.5
40 South Dakota 249165 40730 16.35 47688 15854 33.25 281650.9
41 North Dakota 796514 39130 4.91 148108 14766 9.97 1045208.9
42 Rhode Island 1077670 31445 2.92 249656 5849 2.34 1017283.1
43 Montana 481322 29346 6.10 108602 13999 12.89 450348.0
44 Delaware 343141 24249 7.07 45628 2783 6.10 352386.2
45 West Virginia 743737 22710 3.05 144184 5768 4.00 416158.8
46 District of Columbia 502538 16906 3.36 92509 1254 1.36 712063.3
47 Alaska 577429 14798 2.56 98055 6046 6.17 789328.1
48 Hawaii 508490 14773 2.91 201462 1836 0.91 359135.6
49 Wyoming 125492 11806 9.41 18810 5036 26.77 216829.5
50 New Hampshire 590364 10530 1.78 120972 1799 1.49 434183.4
51 Maine 595786 6309 1.06 126566 744 0.59 443223.2
52 Vermont 186291 2113 1.13 18850 292 1.55 298548.5

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1648665 0 0 1470660 89.20 134137 43348 0 0 2.63
Andhra Pradesh 808924 0 0 773548 95.63 28770 6606 0 0 0.82
Karnataka 805947 0 0 719558 89.28 75423 10947 0 0 1.36
Tamil Nadu 711713 0 0 671489 94.35 29268 10956 0 0 1.54
Uttar Pradesh 472068 0 0 438512 92.89 26654 6902 0 0 1.46
Kerala 397218 0 0 302017 76.03 93745 1353 0 0 0.34
Delhi 359488 0 0 327390 91.07 25786 6312 0 0 1.76
West Bengal 353822 0 0 310086 87.64 37190 6546 0 0 1.85
Odisha 282695 0 0 266105 94.13 15278 1312 0 0 0.46
Telangana 231834 0 0 211912 91.41 18611 1311 0 0 0.57
Bihar 212705 0 0 202007 94.97 9639 1058 0 0 0.50
Assam 204386 0 0 188584 92.27 14891 908 0 0 0.44
Rajasthan 188048 0 0 169962 90.38 16233 1853 0 0 0.99
Chhattisgarh 177608 0 0 153654 86.51 22093 1861 0 0 1.05
Gujarat 168081 0 0 150750 89.69 13638 3693 0 0 2.20
Madhya Pradesh 167969 0 0 154222 91.82 10857 2890 0 0 1.72
Haryana 159457 0 0 147566 92.54 10154 1737 0 0 1.09
Punjab 131391 0 0 123047 93.65 4219 4125 0 0 3.14
Jharkhand 99906 0 0 93368 93.46 5666 872 0 0 0.87
Jammu and Kashmir 92225 0 0 83485 90.52 7296 1444 0 0 1.57
Uttarakhand 60744 0 0 55188 90.85 4080 1001 0 0 1.65
Goa 42532 0 0 39433 92.71 2517 582 0 0 1.37
Puducherry 34336 0 0 29990 87.34 3758 588 0 0 1.71
Tripura 30254 0 0 28046 92.70 1845 340 0 0 1.12
Himachal Pradesh 20586 0 0 17760 86.27 2508 288 0 0 1.40
Manipur 17424 0 0 13057 74.94 4223 144 0 0 0.83
Arunachal Pradesh 14391 0 0 12182 84.65 2174 35 0 0 0.24
Chandigarh 14085 0 0 13230 93.93 633 222 0 0 1.58
Meghalaya 9020 0 0 7332 81.29 1604 81 0 0 0.90
Nagaland 8663 0 0 6720 77.57 1833 27 0 0 0.31
Ladakh 5978 0 0 5216 87.25 691 71 0 0 1.19
Andaman and Nicobar Islands 4253 0 0 3997 93.98 198 58 0 0 1.36
Sikkim 3840 0 0 3448 89.79 245 65 0 0 1.69
Dadra and Nagar Haveli and Daman and Diu 3226 0 0 3147 97.55 51 2 0 0 0.06
Mizoram 2493 0 0 2209 88.61 284 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2766999 162968 5035 3.19 5.89 2715 271 54884 17310 10.62
Piemonte 968047 59618 2458 4.30 6.16 2016 121 23240 4286 7.19
Emilia-Romagna 1509935 49285 1413 2.95 3.26 934 103 17080 4579 9.29
Veneto 2259786 46992 1526 3.36 2.08 664 83 19517 2344 4.99
Campania 886553 43355 2761 6.80 4.89 1210 140 32841 607 1.40
Lazio 1338385 37929 1993 5.55 2.83 1632 166 26142 1139 3.00
Toscana 1027459 35284 1823 5.45 3.43 804 119 21040 1290 3.66
Liguria 418646 24597 1127 4.80 5.88 837 45 6957 1718 6.98
Sicilia 654651 18325 860 4.92 2.80 727 103 11734 449 2.45
Puglia 531155 15581 611 4.08 2.93 635 62 8708 686 4.40
Marche 307045 12058 380 3.25 3.93 250 28 4225 1006 8.34
Abruzzo 272901 8759 345 4.10 3.21 284 22 4609 532 6.07
Friuli Venezia Giulia 515566 8736 241 2.84 1.69 139 31 3445 378 4.33
Sardegna 253445 8164 174 2.18 3.22 306 36 5061 199 2.44
P.A. Trento 277349 8162 257 3.25 2.94 84 5 1648 427 5.23
Umbria 281634 7872 314 4.15 2.80 248 37 4761 110 1.40
P.A. Bolzano 223079 6997 242 3.58 3.14 169 12 3738 300 4.29
Calabria 262979 4204 234 5.89 1.60 117 9 2325 111 2.64
Valle d’Aosta 38828 2726 57 2.14 7.02 99 7 1367 156 5.72
Basilicata 98015 1781 77 4.52 1.82 68 7 1076 44 2.47
Molise 60629 1385 66 5.00 2.28 17 4 692 29 2.09

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 101885 963 0.95 6172 19 0.31 6.06 11933.58 722.91 1 in 84
Ontario 74867 883 1.19 3153 2 0.06 4.21 5088.90 214.32 1 in 197
Alberta 26155 422 1.64 309 2 0.65 1.18 5926.61 70.02 1 in 169
British Columbia 13588 217 1.62 259 0 0.00 1.91 2658.62 50.68 1 in 376
Manitoba 4532 183 4.21 58 3 5.45 1.28 3289.98 42.10 1 in 304
Saskatchewan 2841 58 2.08 25 0 0.00 0.88 2404.23 21.16 1 in 416
Nova Scotia 1102 1 0.09 65 0 0.00 5.90 1127.42 66.50 1 in 887
New Brunswick 334 3 0.91 6 0 0.00 1.80 428.21 7.69 1 in 2335
Newfoundland and Labrador 291 0 0.00 4 0 0.00 1.37 558.15 7.67 1 in 1792
Prince Edward Island 64 0 0.00 0 0 NaN 0.00 404.66 0.00 1 in 2471
Yukon 22 0 0.00 0 0 NaN 0.00 535.57 0.00 1 in 1867
Northwest Territories 9 0 0.00 0 0 NaN 0.00 200.43 0.00 1 in 4989

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5308 105 1.98
Guangdong 1911 8 0.42
Henan 1284 22 1.71
Zhejiang 1283 1 0.08
Shanghai 1149 7 0.61
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 949 13 1.37
Beijing 941 9 0.96
Jiangxi 935 1 0.11
Xinjiang 924 3 0.32
Shandong 846 7 0.83
Sichuan 737 3 0.41
Jiangsu 670 0 0.00
Chongqing 589 6 1.02
Shaanxi 453 3 0.66
Fujian 431 1 0.23
Hebei 372 6 1.61
Liaoning 283 2 0.71
Inner Mongolia 279 1 0.36
Tianjin 261 3 1.15
Guangxi 260 2 0.77
Shanxi 212 0 0.00
Yunnan 211 2 0.95
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 26825.89 692.82 1 in 37
India 5967.38 89.63 1 in 168
Brazil 25989.68 754.64 1 in 38
Russia 10637.66 182.76 1 in 94
France 18573.55 531.15 1 in 54
Spain 23933.52 756.49 1 in 42
Argentina 25222.70 671.56 1 in 40
Colombia 21056.00 622.89 1 in 47
United Kingdom 13857.07 684.15 1 in 72
Mexico 6975.76 695.15 1 in 143
Peru 27683.37 1063.01 1 in 36
South Africa 12656.05 335.91 1 in 79
Iran 7168.85 410.29 1 in 139
Italy 9338.26 623.35 1 in 107
Chile 27951.52 777.06 1 in 36
Germany 5597.52 122.25 1 in 179
Iraq 12017.45 280.22 1 in 83
Bangladesh NA NA 1 in NA
Indonesia 1501.72 51.18 1 in 666
Philippines 3557.14 67.24 1 in 281

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 302077 7027 2.33
Miami-Dade Florida 183250 3624 1.98
Cook Illinois 178832 5439 3.04
Harris Texas 159617 2785 1.74
Maricopa Arizona 155458 3557 2.29
Dallas Texas 93939 1229 1.31
Broward Florida 84338 1520 1.80
Clark Nevada 79782 1497 1.88
Queens New York 76523 7293 9.53
Kings New York 74903 7387 9.86
Riverside California 66993 1303 1.94
Bexar Texas 64941 1402 2.16
Tarrant Texas 64727 815 1.26
San Bernardino California 63367 1073 1.69
Orange California 58980 1454 2.47
Bronx New York 55213 4987 9.03
San Diego California 55210 877 1.59
Palm Beach Florida 51172 1565 3.06
Nassau New York 49496 2208 4.46
Suffolk New York 48829 2019 4.13
Hillsborough Florida 47371 762 1.61
Salt Lake Utah 45969 298 0.65
Orange Florida 45492 546 1.20
Philadelphia Pennsylvania 43365 1864 4.30
El Paso Texas 42332 596 1.41
Wayne Michigan 40396 3050 7.55
Westchester New York 40322 1470 3.65
Milwaukee Wisconsin 40143 578 1.44
Shelby Tennessee 36855 568 1.54
New York New York 35897 3195 8.90
Hidalgo Texas 35281 1934 5.48
Hennepin Minnesota 34657 994 2.87
Duval Florida 34619 515 1.49
Kern California 33928 416 1.23
Mecklenburg North Carolina 33552 386 1.15
Franklin Ohio 32767 642 1.96
Prince George’s Maryland 32499 854 2.63
Davidson Tennessee 32175 341 1.06
Travis Texas 31775 449 1.41
Middlesex Massachusetts 31594 2257 7.14
Fulton Georgia 31038 619 1.99
Fresno California 30969 439 1.42
Gwinnett Georgia 30489 443 1.45
St. Louis Missouri 30135 885 2.94
Utah Utah 28353 79 0.28
Suffolk Massachusetts 27992 1171 4.18
Pima Arizona 27703 636 2.30
King Washington 26599 809 3.04
Marion Indiana 26255 795 3.03
Sacramento California 25601 491 1.92
Montgomery Maryland 25438 869 3.42
Pinellas Florida 25414 818 3.22
Oakland Michigan 25069 1237 4.93
Bergen New Jersey 24795 2058 8.30
Santa Clara California 24425 392 1.60
Essex New Jersey 24177 2142 8.86
Cameron Texas 24085 1079 4.48
Oklahoma Oklahoma 23881 231 0.97
Jefferson Alabama 23573 377 1.60
Fairfax Virginia 23534 605 2.57
Alameda California 23471 462 1.97
Essex Massachusetts 23418 1342 5.73
DuPage Illinois 23408 608 2.60
Fairfield Connecticut 23090 1433 6.21
Lee Florida 23058 509 2.21
Hudson New Jersey 22837 1528 6.69
Polk Florida 22762 615 2.70
Jefferson Kentucky 22204 356 1.60
Douglas Nebraska 22081 218 0.99
Middlesex New Jersey 21939 1444 6.58
Cobb Georgia 21867 454 2.08
Tulsa Oklahoma 21829 201 0.92
San Joaquin California 21729 489 2.25
Providence Rhode Island 21543 930 4.32
Nueces Texas 21219 442 2.08
DeKalb Georgia 21101 398 1.89
Lake Illinois 21010 511 2.43
Wake North Carolina 20953 270 1.29
Passaic New Jersey 20662 1261 6.10
Cuyahoga Ohio 20582 686 3.33
Baltimore Maryland 20419 665 3.26
Union New Jersey 19918 1369 6.87
Polk Iowa 19173 289 1.51
Will Illinois 18807 429 2.28
Contra Costa California 18763 242 1.29
Jefferson Louisiana 18687 585 3.13
Macomb Michigan 18548 1087 5.86
Denver Colorado 18037 449 2.49
Collin Texas 17883 177 0.99
Rockland New York 17832 683 3.83
Hamilton Ohio 17719 344 1.94
Stanislaus California 17714 398 2.25
Lubbock Texas 17703 170 0.96
Hartford Connecticut 17672 1470 8.32
Tulare California 17590 288 1.64
Baltimore City Maryland 17581 501 2.85
Fort Bend Texas 17556 307 1.75
Greenville South Carolina 17482 343 1.96
Richland South Carolina 17182 269 1.57
Richmond New York 17174 1095 6.38

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc